COMPREHENSIVE OPTIMIZATION OF WIND TURBINE AIRFOIL AERODYNAMIC PERFORMANCE BASED ON CHAOTIC MAPPING AND DYNAMIC COOPERATIVE MECHANISM

Liu Bingxuan; MaJianlong; Lyu Wenchun; Su Hongjie

doi:10.19912/j.0254-0096.tynxb.2023-1557

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 17-24. DOI: 10.19912/j.0254-0096.tynxb.2023-1557

COMPREHENSIVE OPTIMIZATION OF WIND TURBINE AIRFOIL AERODYNAMIC PERFORMANCE BASED ON CHAOTIC MAPPING AND DYNAMIC COOPERATIVE MECHANISM

Liu Bingxuan¹, MaJianlong^1-3, Lyu Wenchun⁴, Su Hongjie¹

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Abstract

In order to meet the design requirements of wind turbine airfoils in actual operation for both the comprehensive performance aerodynamic performance of the range angle of attack and the aerodynamic performance of the design working conditions without increasing the dimension of the objective function, an airfoil optimization method coupled with chaotic mapping and dynamic cooperation mechanism is proposed. The Bezier curve constructs the geometrical parametric model of the airfoil, the improved Logistic-Tent chaotic mapping applies to enhance the global searching ability of the design space, and the dynamic cooperation function is embedded in the adaptive multi-objective algorithm to improve the lift-to-drag ratio of the airfoil, to realize the parallel optimization of the comprehensive aerodynamic performance of the airfoil for the range of angle-of-attack and the aerodynamic performance of the design working condition point. After CFD numerical validation, the lift coefficient of the optimized airfoil in the range angle of attack is improved by 4.6% and 7.0% on average, the lift-to-drag ratio is improved by 4.2% and 7.4% on average, and the lift-to-drag ratio of the design point is improved by 7.53% and 9.19%, which proves the feasibility of the method.

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wind turbines / airfoils / lift drag ratio / aerodynamic performance / airfoil optimization / chaotic map

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Liu Bingxuan, MaJianlong, Lyu Wenchun, Su Hongjie. COMPREHENSIVE OPTIMIZATION OF WIND TURBINE AIRFOIL AERODYNAMIC PERFORMANCE BASED ON CHAOTIC MAPPING AND DYNAMIC COOPERATIVE MECHANISM[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 17-24 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1557

References

[1] 李春, 叶舟, 高伟, 等. 现代陆海风力机计算与仿真[M]. 上海: 上海科学技术出版社, 2012.
LI C, YE Z, GAO W, et al.Calculation and simulation of modern land-sea wind turbine[M]. Shanghai: Shanghai Scientific & Technical Publishers, 2012.
[2] 谭俊哲, 边冰冰, 司先才, 等. 基于多目标遗传算法的潮流能水轮机专用翼型优化设计[J]. 中国海洋大学学报(自然科学版), 2020, 50(7): 127-134.
TAN J Z, BIAN B B, SI X C, et al.Special hydrofoil optimization design of tidal turbine based on multi-objective genetic algorithm[J]. Periodical of Ocean University of China, 2020, 50(7): 127-134.
[3] DEB K, AGRAWAL S, PRATAP A, et al.A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II[M]//Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000: 849-858.
[4] 刘华威, 吴永忠, 张朋杨, 等. 基于自适应模拟退火遗传算法的风力机翼型优化设计[J]. 可再生能源, 2018, 36(6): 930-934.
LIU H W, WU Y Z, ZHANG P Y, et al.Research on adaptive simulated annealing genetic algorithm in wind turbine airfoil optimization design[J]. Renewable energy resources, 2018, 36(6): 930-934.
[5] 汪泉, 陈晓田, 胡梦杰, 等. 基于气动性能与刚度特性的风力机翼型优化设计[J]. 中国机械工程, 2020, 31(19): 2283-2289.
WANG Q, CHEN X T, HU M J, et al.Optimization design of wind turbine airfoils based on aerodynamic performance and stiffness characteristics[J]. China mechanical engineering, 2020, 31(19): 2283-2289.
[6] 张强, 缪维跑, 常林森, 等. 基于代理模型的风力机翼型动态失速优化设计[J]. 太阳能学报, 2023, 44(6): 343-350.
ZHANG Q, MIAO W P, CHANG L S, et al.Optimal design of dynamic stall of wind turbine airfoil based on surrogate model[J]. Acta energiae solaris sinica, 2023, 44(6): 343-350.
[7] 唐新姿, 李鹏程, 陆鑫宇, 等. 随机湍流工况低雷诺数风力机翼型优化研究[J]. 计算力学学报, 2019, 36(5): 664-671.
TANG X Z, LI P C, LU X Y, et al.Optimization of low Reynolds number wind turbine airfoil under stochastic turbulence condition[J]. Chinese journal of computational mechanics, 2019, 36(5): 664-671.
[8] 陈进, 郭小锋, 孙振业等. 基于改进多目标粒子群算法的风力机大厚度翼型优化设计[J]. 东北大学学报(自然科学版), 2016, 37(2): 232-236.
CHEN J, GUO X F, SUN Z Y, et al.Optimization of wind turbine thick airfoils using improved multi-objective particle swarm algorithm[J]. Journal of Northeastern University(natural science), 2016, 37(2): 232-236.
[9] RAUL V, LEIFSSON L.Surrogate-based aerodynamic shape optimization for delaying airfoil dynamic stall using Kriging regression and infill criteria[J]. Aerospace science and technology, 2021, 111: 106555.
[10] 刘春, 何舰. 改进Coupled算法在翼型气动性能计算中的应用[J]. 科学技术与工程, 2018, 18(2): 174-179.
LIU C, HE J.Application of improved Coupled algorithm in aerodynamic performance calculation of airfoil[J]. Science technology and engineering, 2018, 18(2): 174-179.
[11] 覃锴, 伊鹏辉, 刘兆方, 等. 基于多岛遗传算法的钝尾缘翼型多目标优化设计[J]. 太阳能学报, 2022, 43(9): 218-225.
QIN K, YIN P H, LIU Z F, et al.Multi-objective optimization design for blunt trailing-edge airfoil based on multi-island genetic algorithm[J]. Acta energiae solaris sinica, 2022, 43(9): 218-225.
[12] LE-DUC T, NGUYEN Q.Aerodynamic optimal design for horizontal axis wind turbine airfoil using integrated optimization method[J]. International journal of computational methods, 2019, 16(8): 1841004.
[13] 廖炎平, 刘莉, 龙腾. 几种翼型参数化方法研究[J]. 弹箭与制导学报, 2011, 31(3): 160-164.
LIAO Y P, LIU L, LONG T.The research on some parameterized methods for airfoil[J]. Journal of projectiles, rockets, missiles and guidance, 2011, 31(3): 160-164.
[14] DU X S, HE P, MARTINS J R R A. Rapid airfoil design optimization via neural networks-based parameterization and surrogate modeling[J]. Aerospace science and technology, 2021, 113: 106701.
[15] JONKMAN J, BUTTERFIELD S, MUSIAL W, et al.Definition of a 5-MW reference wind turbine for offshore system development[R]. Renewable Energy Laboratory, 2009: 1-75.
[16] DRELA M.XFOIL: an analysis and design system for low Reynolds number airfoils[M]//Lecture Notes in Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989: 1-12.
[17] HAN W, KIM J, KIM B.Effects of contamination and erosion at the leading edge of blade tip airfoils on the annual energy production of wind turbines[J]. Renewable energy, 2018, 115: 817-823.
[18] 郭现峰, 李浩华, 魏金玉. 基于Fibonacci变换和改进Logistic-Tent混沌映射的图像加密方案[J]. 吉林大学学报(工学版), 2023, 53(7): 2115-2120.
GUO X F, LI H H, WEI J Y.Image encryption scheme based on Fibonacci transform and improved Logistic-Tent chaotic map[J]. Journal of Jilin University (engineering and technology edition), 2023, 53(7): 2115-2120.